Feedforward neural network
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Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand When a large feedforward neural network is trained on a small training set, it typically performs poorly on held-out test data… Expand Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms… Expand It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major… Expand This book, by the authors of the Neural Network Toolbox for MATLAB, provides a clear and detailed coverage of fundamental neural… Expand Feedforward neural networks trained by error backpropagation are examples of nonparametric regression estimators. We present a… Expand Abstract We show that standard multilayer feedforward networks with as few as a single hidden layer and arbitrary bounded and… Expand Abstract This paper rigorously establishes that standard multilayer feedforward networks with as few as one hidden layer using… Expand Abstraet--A new approach to unsupervised learning in a single-layer linear feedforward neural network is discussed. An optimality… Expand Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern… Expand